Systems and methods for analyzing and transforming an application from a source installation to a target installation

ABSTRACT

The present application is directed towards systems and methods for analyzing and transforming an application from a source installation to a target installation. Customized functions, objects, databases, and code of the source installation may be analyzed in accordance with analysis rules to create a meta-model representative of the elements of the customized elements and their relationships with each other and objects of the source installation. Responsive to transformation rules, the meta-model may be modified to create a transformed meta-model representative of the elements and their relationships with each other and objects of the target installation. The transformations may then be applied to the customized functions, objects, databases, and code of the source installation to convert them into transformed functions, objects, databases, and code, compatible with the target installation.

FIELD OF THE INVENTION

The present application generally relates to analyzing and upgrading acomputer system. In particular, the present application relates tosystems and methods for analyzing and transforming an application from asource installation to a target installation.

BACKGROUND OF THE INVENTION

Many software applications may be modified or customized by users oradministrators to include additional functions, objects, databases, andcustomized code. When the underlying software application is upgraded toa new version, in many instances, the modified or customized functions,objects, databases, and code of the prior, obsolete version may beincompatible with the new version. Rewriting the modified or customizedfunctions, objects, databases, and/or code may be time consuming andexpensive.

BRIEF SUMMARY OF THE INVENTION

The present application is directed towards systems and methods foranalyzing and transforming an application from a source installation toa target installation. Customized functions, objects, databases, andcode of the source installation may be analyzed in accordance withanalysis rules to create a meta-model representative of the elements ofthe customized elements and their relationships with each other andobjects of the source installation. Responsive to transformation rules,the meta-model may be modified to create a transformed meta-modelrepresentative of the elements and their relationships with each otherand objects of the target installation. The transformations may then beapplied to the customized functions, objects, databases, and code of thesource installation to convert them into transformed functions, objects,databases, and code, compatible with the target installation.

In some of the embodiments described herein, a system or method may bedescribed as automatic, semi-automatic or manual. An automatic system ormethod may be such a system or method that performs any of the upgrades,transformations or conversion described herein without any user inputduring the upgrade, transformation or conversion or with a level of userinput below a predetermined threshold. A semi-automatic system or methodmay be such a system or method that performs any of the upgrades,transformations or conversion described herein with combination of alevel of automation and a level of user input during the upgrade,transformation or conversion below a predetermined threshold or within apredetermined threshold range. A manual system or method may be such asystem or method that performs any of the upgrades, transformations orconversion described herein without automation during the upgrade,transformation or conversion or with a level of automation below apredetermined threshold. In addition, in the following description, aobjects or code of a system may be referred to as comprising automaticcode; comprising semi-automatic code; or comprising manual code. Similarto the systems and methods described above, automatic code may beupgraded, transformed or converted without any user input during theupgrade, transformation, or conversion. Semi-automatic code may beupgraded, transformed or converted with a combination of a level ofautomation and a level of user input during the upgrade, transformation,or conversion below a predetermined threshold or within a predeterminedthreshold range. Manual code may be upgraded, transformed, or convertedwithout automation during the upgrade, transformation or conversion orwith a level of automation below a predetermined threshold.

In some aspects, the present invention is directed to a method ofautomation in the analysis and transformation of computing systems ofvarious types. Analysis and transformation are part of a larger processthat may be referred to generally as modernization. Modernization of agiven computer system or application comprises a variety of tasks andprocesses, including adapting software to operate on new hardwareplatforms, restructuring code to optimize performance, rewriting code innew languages, introducing new functionality, and other types and formsof upgrading.

For example, the class of software systems and corresponding marketsegment referred to as Enterprise Resource Planning (ERP) ischaracterized by systems and applications of extremely large breadth andscope of functionality, designed to coordinate, control, and supportresources and information related to business processes such asmanufacturing, supply chain management, financials, projects, humanresources and customer relationship management from a shared data storefor an entire enterprise. The inherently large scope and complexity ofERP systems poses significant challenges to modernization. Businessowners must balance significant business and technical benefits ofupdating and modernizing these vast systems against the considerablecosts, risks, and disruption associated with large-scale modernizationprojections.

One example of an ERP system is the Systems, Applications, and Products(SAP) system developed by SAP AG of Walldorf, Germany. SAP uses aproprietary system architecture and programming language, the AdvancedBusiness Application Programming (ABAP) language, which includes theconcept of Logical Databases (LDBs). SAP is prominent in the market, andthis has spawned an industry sub-niche for providers of specializedservices and solutions related to SAP systems. Services and solutionsserving the SAP ERP market segment must be extremely knowledgeableabout, and closely aligned with, the underlying framework, architecture,and programming language of SAP systems, from both technical andbusiness perspectives.

One advantage of the SAP ERP environment is the ability of customers andconsultants to develop customized code, objects, reports, and interfacesfor specific business requirements. SAP even allocates a specificrepository within its environment to this type of custom code. However,when SAP AG releases new versions of underlying SAP software, SAPstandard upgrade utilities will not operate on any custom code eventhough the custom code is written in the ABAP language. Specifically,the SAP upgrade utilities provide customers with the means to upgradeonly the standard SAP components (the basis layer, the standard modules,and the system databases) from a given release level to a more recentrelease level. The upgrade utilities do not provide tools to upgrade anymodified or custom code that is deployed in the system. The presence ofcustom code thus creates an obstacle for SAP customers who need toupgrade to the most current released version of SAP software.

Accordingly, the present invention features a solution to automate acomprehensive approach to analysis of a computing system—for instance,an ERP system such as SAP—at a detailed, source code level. Furthermore,the present invention features a solution to transform custom code.Disclosed herein are embodiments and examples of systems and methods forperforming automated analysis and transformation of second- andthird-party code. Although many of the examples discussed below are tiedto specific embodiments of systems, including ERP systems such as SAP,the disclosed systems and methods may be applied to analyzing andtransforming custom code in compliance with standards and rules of anylanguage and architecture, including proprietary languages andarchitectures.

In one aspect, the present invention features a method of upgrading andmodernizing a computing system, and in one embodiment, is focused on theproblem of upgrading custom code developed by customers and consultants.The solution may analyze and alter custom code within a language, suchas the proprietary ABAP language, and include components that operatewithin the system providing the computing language.

In some embodiments, the present invention provides analysis andreporting capabilities to provide customers and consultants withaccurate and in-depth understanding of custom code, objects, reports,and interfaces. In other embodiments, the present invention providesconversion capabilities to provide reliable automated transformation andmodernization of custom code, objects, reports, and interfaces withintheir associated computing environments. In further embodiments, thepresent invention provides support for customers who have extended theircomputing systems by deploying custom code. In other embodiments, thepresent invention provides support for independent systems integrationconsultants who engage in modernization projects to meet the needs ofenterprise information technology departments.

In one embodiment, the present invention features an extensible rulebased engine that allows for modernization of existing rules andimplementation of additional rules. In another embodiment, the presentinvention features a system for adherence to coding standards and otherinternal requirements, such as tracking statements, naming conventions,etc. In another embodiment, the present invention features a conversionengine that transforms source code structures to comply with targetsystem and client requirements, responsive to the rules engineconfiguration. In still another embodiment, the present inventionfeatures systems including flexible and/or extensible architectures,such as plugins. In still another embodiment, the present inventionfeatures a system for displaying results or changes graphically. In afurther embodiment, the present invention features a system forproviding graph and flow charts on demand to show inventory.

In another aspect, the present invention features a method for solvingtechnical issues with custom code without altering or interacting withother parts of the system. In some embodiments, the method includesgenerating an inventory of one or more custom programming objects andtheir relationships with each other and other system objects. Inadditional embodiments, the method includes generating technical detailsof the application, including measurements of code length, complexity,interactions, storage, processing requirements, etc. In furtherembodiments, the method includes capabilities for reversion to apre-transformation state. In other embodiments, the method includescapabilities for repetition of transformations, through successiveiterations. In still other embodiments, the method includes generating areport comprising a comprehensive overview of coding issues in theapplication, ranging from unicode violations to obsolete coding issuesto code defects. In some embodiments, the method includes replacingoutdated syntax constructs with high-performance constructs to improveperformance and efficiency.

In one aspect, the present invention features a method of analyzingmodifications to an application from a predetermined state of theapplication. The method includes a collection agent, identifying from asource installation of an application, objects of the applicationmodified from a predetermined state of the application. The method alsoincludes an analysis agent parsing the modified objects into a set ofelements. The method further includes the analysis agent generating ameta-model comprising a representation of the modified objects of theapplication. The meta-model comprises a mapping of the set of elementsto the modified objects. The method also includes the analysis agentapplying one or more analysis rules to the set of elements in themeta-model. The one or more analysis rules determine whethertransformation of each of the set of the elements from the sourceinstallation of the application to a target installation of theapplication is automatic, semi-automatic or manual.

In some embodiments, the method includes the collection agent comparingeach object to a database of objects in the predetermined state of theapplication and identifying a modification to each object based on thecomparison. In another embodiment, the method includes the analysisagent parsing the modified objects to determine one or more of alanguage syntax and grammar of the objects, and comparing the modifiedobjects to a language rules database. In another embodiment, the methodincludes the analysis agent generating the meta-model to include one ormore of the following: data structures, database definition, filedefinition interfaces, and a link from the set of elements of themodified objects to corresponding code in the source application.

In one embodiment, the method includes the analysis agent detecting oneor more violations of a set of elements in the meta-model to rulesspecified via the one or more analysis rules. In another embodiment, themethod includes the analysis agent determining a set of elements in themeta-model that violate a unicode rule specified by the one or moreanalysis rules. In yet another embodiment, the method includes theanalysis agent determining a set of elements in the meta-model that donot adhere to a coding standard specified by the one or more analysisrules. In other embodiments, the method includes the analysis agentcategorizing each of the modified objects as an automatic,semi-automatic, or manual conversion from the source installation of theapplication to the target installation of the application. In stillother embodiments, the method includes the analysis agent generatingstatistics of suitability for upgrade from the source installation ofthe application to the target installation of the application. In yetother embodiments, the method includes the analysis agent generating anestimate of one or more of time and cost for converting the sourceinstallation of the application to the target installation of theapplication.

In another aspect, the present invention features a method oftransforming modifications from a source installation of an applicationto a target installation of the application. The method includes atransformer receiving a meta-model comprising a representation ofobjects of a source installation of an application modified from apredetermined state of the application. The meta-model comprises amapping of the modified objects to a set of elements. The method alsoincludes the transformer applying one or more transformation rules tothe meta-model to transform the set of elements of the modified objectsfor a target installation of the application. The method also includesthe transformer generating, from the transformed set of elements in themeta-model, transformed objects that are interpretable by the targetinstallation of the application. In one embodiment, the method furtherincludes the transformer displaying a comparison of the set of elementsbefore applying the transformation rules and the set of elements afterapplying the transformation rules.

In an additional embodiment, the method includes the transformeridentifying patterns in the meta-model and replacing the identifiedpatters with elements specified by the one or more transformation rules.In another embodiment, the method includes the transformer applying theone or more transformation rules, responsive to an indicator identifyingeach of the modified objects as an automatic, semi-automatic, or manualtransformation. In yet another embodiment, the method includes thetransformer applying the one or more transformation rules to upgrade themodified objects from a first version of the application of the sourceinstallation to a second version of the application of the targetinstallation. In still another embodiment, the method includes thetransformer applying the one or more transformation rules to correctviolations of the modified objects for the target installation of theapplication identified by one or more analysis rules.

In another embodiment, the method includes the transformer applying theone or more transformation rules to convert the set of elements of themodified objects to comply with a unicode rule. In another embodiment,the method includes applying the one or more transformation rules toconvert the set of elements of the modified objects to comply with acoding standard. In still another embodiment, the method includes thetransformer generating the transformed set of elements into transformedobjects comprising a programming language of the target installation ofthe application. In an additional embodiment, the method includes thetransformer compiling the transformed objects into a form useable by thetarget installation of the application.

The details of various embodiments of the invention are set forth in theaccompanying drawings and the description below.

BRIEF DESCRIPTION OF THE FIGURES

The foregoing and other objects, aspects, features, and advantages ofthe invention will become more apparent and better understood byreferring to the following description taken in conjunction with theaccompanying drawings, in which:

FIG. 1A is a block diagram of an embodiment of a network environment fora client to access a server for analyzing and transforming anapplication from a source installation to a target installation;

FIGS. 1B-1C are block diagrams of embodiments of a computing device;

FIG. 2A is a block diagram of an embodiment of a suite of applicationsfor analyzing and transforming an application from a source installationto a target installation;

FIG. 2B is a block diagram of an embodiment of an appliance foranalyzing and transforming an application from a source installation toa target installation;

FIG. 2C is block diagram of another embodiment of an appliance foranalyzing and transforming an application from a source installation toa target installation;

FIG. 2D is a block diagram of an embodiment of an analysis andtransformation of a source installation into a target installation;

FIG. 2E is a block diagram of an embodiment of a transformation process;

FIG. 3 is a flow chart of an embodiment of a method of analyzing andtransforming an application from a source installation to a targetinstallation; and

FIGS. 4-14 are screenshots of an embodiment of an application foranalyzing and transforming an application from a source installation toa target installation.

FIGS. 15A-C are screenshots of an embodiment of a report of objectsanalyzed and transformed from a source installation to a targetinstallation.

FIG. 16 is a screenshot of an embodiment of a report of remaining manualeffort required to transform an application from a source installationto a target installation.

FIG. 17 is a screenshot of an embodiment of a report of a time analysisto transform an application from a source installation to a targetinstallation.

FIG. 18 is a screenshot of an embodiment of a report summary.

The features and advantages of the present invention will become moreapparent from the detailed description set forth below when taken inconjunction with the drawings, in which like reference charactersidentify corresponding elements throughout. In the drawings, likereference numbers generally indicate identical, functionally similar,and/or structurally similar elements.

DETAILED DESCRIPTION OF THE INVENTION

For purposes of reading the description of the various embodimentsbelow, the following descriptions of the sections of the specificationand their respective contents may be helpful:

-   -   Section A describes a network environment and computing        environment which may be useful for practicing embodiments        described herein;    -   Section B describes embodiments of systems and methods for        analyzing and transforming an application from a source        installation to a target installation; and    -   Section C describes embodiments of an application for analyzing        and transforming an application from a source installation to a        target installation.

A. Network and Computing Environment

Prior to discussing the specifics of embodiments of the systems andmethods of the solution of the present disclosure, it may be helpful todiscuss the network and computing environments in which such embodimentsmay be deployed. Referring now to FIG. 1A, an embodiment of a networkenvironment 101 is depicted. In brief overview, the network environment101 comprises one or more systems 202-206 in communication with one ormore clients 208-210 (also generally referred to as remote machine(s)106) via one or more networks 104. Specifically shown are a bridgesystem 202, a source system 204, a target system 206, an analyzer client208, and a configuration client 210. In some embodiments, analyzerclient 208 and configuration client 210 may be the same client. In otherembodiments, bridge system 202 may be combined with analyzer client 208and/or configuration client 210. In yet another embodiment, bridgesystem 202 may be combined with either source system 204 or targetsystem 206. In some embodiments, a client 208-210 communicates with aserver 202-206 via an intermediary appliance (not shown), such as afirewall, a switch, a hub, a NAT, a proxy, a performance enhancingproxy, a network accelerator, a modem, or other network device of anyform or type.

As shown in FIG. 1A, the network 104 can be a local-area network (LAN),such as a company Intranet, a metropolitan area network (MAN), or a widearea network (WAN), such as the Internet or the World Wide Web. Althoughnot illustrated, network 104 may comprise one or more networks, coupledeither directly or via one or more intermediaries. In one embodiment,network 104 may be a private network. In another embodiment, network 104may be a public network. In some embodiments, network 104 may be acombination of one or more private networks and one or more publicnetworks. In some embodiments, clients 208-210 may be located at abranch office of a corporate enterprise communicating via a WANconnection over the network 104 to the systems 202-206 located at acorporate data center.

The network 104 may be any type and/or form of network and may includeany of the following: a point to point network, a broadcast network, awide area network, a local area network, a telecommunications network, adata communication network, a computer network, an ATM (AsynchronousTransfer Mode) network, a SONET (Synchronous Optical Network) network, aSDH (Synchronous Digital Hierarchy) network, a wireless network and awireline network. In some embodiments, the network 104 may comprise awireless link, such as an infrared channel or satellite band. Thetopology of the network 104 may be a bus, star, or ring networktopology. The network 104 and network topology may be of any suchnetwork or network topology as known to those ordinarily skilled in theart capable of supporting the operations described herein.

As shown in FIG. 1A, bridge system 202 may be a server or workstation,configured to include a solution manager 212 and/or a collection agent214, discussed in more detail below. As discussed above, althoughillustrated as a separate entity, bridge system 202 may be part of orcombined with either or both of analyzer client 208 and configurationclient 210.

Source system 204 may also be referred to as a source installation 204.In some embodiments, source system or source installation 204 maycomprise a server or workstation with an installation or configurationof a version of one or more applications. In one embodiment, the one ormore applications may also include an operating system. In anotherembodiment, the one or more applications may comprise an enterpriseresource planning (ERP) software, such as SAP Business Suite or SAP R/3,manufactured by SAP AG of Walldorf, Germany; Microsoft Dynamics,manufactured by Microsoft Corporation of Redmond, Wash.; PeopleSoft,manufactured by Oracle Corporation of Redwood Shores, Calif.; or anyother type and form of enterprise or manufacturing resource planningsoftware. In another embodiment, the one or more applications maycomprise any application that comprises an installation in apredetermined state, and modifications to objects from the predeterminedstate. In an example of such an embodiment, a default installation of anERP application may be installed on source installation 204. To accountfor specific needs of the business or industry, the installation may bemodified, with custom objects, code, or functions for performingadditional tasks or managing additional resources not foreseen by themanufacturer of the ERP application. In another embodiment, the sourcesystem or source installation may comprise any type or form ofapplication containing modifications from an initial or default state.

An installation in a predetermined state may comprise any type and formof version, installation and/or state of configuration, modernization orcustomization of the same at any point during development, deployment ormaintenance of the application. In some embodiments, the predeterminedstate may be an initial or default installation of an application. Insome embodiments, the predetermined state may be the initial or defaultinstallation of a version of an application with a set of one or moreconfigurations, customizations or extensions. In some embodiments, thepredetermined state may be any version of an application with a set ofone or more configurations, customizations or extensions. In otherembodiments, the predetermined state may be any version that has beenupgraded or transformed using any of the systems and methods describedherein. In some embodiments, the predetermined state may be any point ofconfiguration or customization of a version of an application, whethercomplete, in-process or otherwise. For example, a predetermined state ofan application may be any set point in development, configuration orcustomization of an application. For example, the systems and methodsdescribed herein may be used to transform the configuration orcustomization during the development phases before the finalcustomizations or configurations are deployed for production.

Target system 206 may also be referred to as a target installation 206.In some embodiments, target system or target installation 206 maycomprise a server or workstation with an installation or configurationof a second version of one or more applications. In some embodiments,the second version may be similar to the first version of one or moreapplications on source system 204. As described above, source system 204may comprise custom objects, codes or functions. Using the methods andsystems described herein, target system 206 may be efficiently modifiedto comprise the custom objects, codes or functions of source system 204.In some embodiments, target system 206 may comprise additionalmodifications to allow the custom objects, codes or functions to executeor interact properly with the second version of the one or moreapplications. For example, a company with an existing source system 204may wish to upgrade to a new version of an underlying application on atarget system 206. The existing source system 204 may have modificationsand custom objects that the company wishes to include on target system206. In some embodiments, custom objects and code may be directlytransferred and will perform without error on target system 206.However, in many embodiments, the custom objects and code may needfurther modifications, due to differences between the underlyingapplication of target system 206 and source system 204.

Also shown in FIG. 1A are analyzer client 208 and configuration client210. Although shown as separate clients, in some embodiments, analyzerclient 208 and configuration client 210 may be combined, and/or may becombined with bridge system 202. Analyzer client 208 and configurationclient 210 may each be a workstation, client, or server. In someembodiments, analyzer client 208 is configured with or executes ananalysis agent 228 and/or transformer 230, described in more detailbelow. In some embodiments, configuration client 210 is configured withor executes a configuration agent 232 and/or a manual conversion agent234, described in more detail below.

The bridge system 202, source system 204, target system 206, analyzerclient 208 and configuration client 210 may be deployed as and/orexecuted on any type and form of computing device, such as a computer,network device or appliance capable of communicating on any type andform of network and performing the operations described herein. FIGS. 1Band 1C depict block diagrams of a computing device 100 useful forpracticing an embodiment of the client 102, server 106 or appliance 200.As shown in FIGS. 1B and 1C, each computing device 100 includes acentral processing unit 101, and a main memory unit 122. As shown inFIG. 1B, a computing device 100 may include a visual display device 124,a keyboard 126 and/or a pointing device 127, such as a mouse. As shownin FIG. 1C, each computing device 100 may also include additionaloptional elements, such as one or more input/output devices 130 a-130 b(generally referred to using reference numeral 130), and a cache memory140 in communication with the central processing unit 101.

The central processing unit 101 is any logic circuitry that responds toand processes instructions fetched from the main memory unit 122. Inmany embodiments, the central processing unit is provided by amicroprocessor unit, such as: those manufactured by Intel Corporation ofMountain View, Calif.; those manufactured by Motorola Corporation ofSchaumburg, Ill.; those manufactured by Transmeta Corporation of SantaClara, Calif.; the RS/6000 processor, those manufactured byInternational Business Machines of White Plains, N.Y.; or thosemanufactured by Advanced Micro Devices of Sunnyvale, Calif. Thecomputing device 100 may be based on any of these processors, or anyother processor capable of operating as described herein.

Main memory unit 122 may be one or more memory chips capable of storingdata and allowing any storage location to be directly accessed by themicroprocessor 101, such as Static random access memory (SRAM), BurstSRAM or SynchBurst SRAM (BSRAM), Dynamic random access memory (DRAM),Fast Page Mode DRAM (FPM DRAM), Enhanced DRAM (EDRAM), Extended DataOutput RAM (EDO RAM), Extended Data Output DRAM (EDO DRAM), BurstExtended Data Output DRAM (BEDO DRAM), Enhanced DRAM (EDRAM),synchronous DRAM (SDRAM), JEDEC SRAM, PC 100 SDRAM, Double Data RateSDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), SyncLink DRAM (SLDRAM),Direct Rambus DRAM (DRDRAM), or Ferroelectric RAM (FRAM). The mainmemory 122 may be based on any of the above described memory chips, orany other available memory chips capable of operating as describedherein. In the embodiment shown in FIG. 1B, the processor 101communicates with main memory 122 via a system bus 150 (described inmore detail below). FIG. 1C depicts an embodiment of a computing device100 in which the processor communicates directly with main memory 122via a memory port 103. For example, in FIG. 1C the main memory 122 maybe DRDRAM.

FIG. 1C depicts an embodiment in which the main processor 101communicates directly with cache memory 140 via a secondary bus,sometimes referred to as a backside bus. In other embodiments, the mainprocessor 101 communicates with cache memory 140 using the system bus150. Cache memory 140 typically has a faster response time than mainmemory 122 and is typically provided by SRAM, BSRAM, or EDRAM. In theembodiment shown in FIG. 1C, the processor 101 communicates with variousI/O devices 130 via a local system bus 150. Various busses may be usedto connect the central processing unit 101 to any of the I/O devices130, including a VESA VL bus, an ISA bus, an EISA bus, a MicroChannelArchitecture (MCA) bus, a PCI bus, a PCI-X bus, a PCI-Express bus, or aNuBus. For embodiments in which the I/O device is a video display 124,the processor 101 may use an Advanced Graphics Port (AGP) to communicatewith the display 124. FIG. 1C depicts an embodiment of a computer 100 inwhich the main processor 101 communicates directly with I/O device 130via HyperTransport, Rapid I/O, or InfiniBand. FIG. 1C also depicts anembodiment in which local busses and direct communication are mixed: theprocessor 101 communicates with I/O device 130 using a localinterconnect bus while communicating with I/O device 130 directly.

The computing device 100 may support any suitable installation device116, such as a floppy disk drive for receiving floppy disks such as3.5-inch, 5.25-inch disks or ZIP disks, a CD-ROM drive, a CD-R/RW drive,a DVD-ROM drive, tape drives of various formats, USB device, hard-driveor any other device suitable for installing software and programs suchas any client agent 120, or portion thereof. The computing device 100may further comprise a storage device 128, such as one or more hard diskdrives or redundant arrays of independent disks, for storing anoperating system and other related software, and for storing applicationsoftware programs such as any program related to the client agent 120.Optionally, any of the installation devices 116 could also be used asthe storage device 128. Additionally, the operating system and thesoftware can be run from a bootable medium, for example, a bootable CD,such as KNOPPIX®, a bootable CD for GNU/Linux that is available as aGNU/Linux distribution from knoppix.net.

Furthermore, the computing device 100 may include a network interface118 to interface to a Local Area Network (LAN), Wide Area Network (WAN)or the Internet through a variety of connections including, but notlimited to, standard telephone lines, LAN or WAN links (e.g., 802.11,T1, T3, 56 kb, X.25), broadband connections (e.g., ISDN, Frame Relay,ATM), wireless connections, or some combination of any or all of theabove. The network interface 118 may comprise a built-in networkadapter, network interface card, PCMCIA network card, card bus networkadapter, wireless network adapter, USB network adapter, modem or anyother device suitable for interfacing the computing device 100 to anytype of network capable of communication and performing the operationsdescribed herein. A wide variety of I/O devices 130 a-130 n may bepresent in the computing device 100. Input devices include keyboards,mice, trackpads, trackballs, microphones, and drawing tablets. Outputdevices include video displays, speakers, inkjet printers, laserprinters, and dye-sublimation printers. The I/O devices 130 may becontrolled by an I/O controller 123 as shown in FIG. 1B. The I/Ocontroller may control one or more I/O devices such as a keyboard 126and a pointing device 127, e.g., a mouse or optical pen. Furthermore, anI/O device may also provide storage 128 and/or an installation medium116 for the computing device 100. In still other embodiments, thecomputing device 100 may provide USB connections to receive handheld USBstorage devices such as the USB Flash Drive line of devices manufacturedby Twintech Industry, Inc. of Los Alamitos, Calif.

In some embodiments, the computing device 100 may comprise or beconnected to multiple display devices 124 a-124 n, which each may be ofthe same or different type and/or form. As such, any of the I/O devices130 a-130 n and/or the I/O controller 123 may comprise any type and/orform of suitable hardware, software, or combination of hardware andsoftware to support, enable or provide for the connection and use ofmultiple display devices 124 a-124 n by the computing device 100. Forexample, the computing device 100 may include any type and/or form ofvideo adapter, video card, driver, and/or library to interface,communicate, connect or otherwise use the display devices 124 a-124 n.In one embodiment, a video adapter may comprise multiple connectors tointerface to multiple display devices 124 a-124 n. In other embodiments,the computing device 100 may include multiple video adapters, with eachvideo adapter connected to one or more of the display devices 124 a-124n. In some embodiments, any portion of the operating system of thecomputing device 100 may be configured for using multiple displays 124a-124 n. In other embodiments, one or more of the display devices 124a-124 n may be provided by one or more other computing devices, such ascomputing devices 100 a and 100 b connected to the computing device 100,for example, via a network. These embodiments may include any type ofsoftware designed and constructed to use another computer's displaydevice as a second display device 124 a for the computing device 100.One ordinarily skilled in the art will recognize and appreciate thevarious ways and embodiments that a computing device 100 may beconfigured to have multiple display devices 124 a-124 n.

In further embodiments, an I/O device 130 may be a bridge 170 betweenthe system bus 150 and an external communication bus, such as a USB bus,an Apple Desktop Bus, an RS-232 serial connection, a SCSI bus, aFireWire bus, a FireWire 800 bus, an Ethernet bus, an AppleTalk bus, aGigabit Ethernet bus, an Asynchronous Transfer Mode bus, a HIPPI bus, aSuper HIPPI bus, a SerialPlus bus, a SCI/LAMP bus, a FibreChannel bus,or a Serial Attached small computer system interface bus.

A computing device 100 of the sort depicted in FIGS. 1B and 1C typicallyoperate under the control of operating systems, which control schedulingof tasks and access to system resources. The computing device 100 can berunning any operating system such as any of the versions of theMicrosoft® Windows operating systems, the different releases of the Unixand Linux operating systems, any version of the Mac OS® for Macintoshcomputers, any embedded operating system, any real-time operatingsystem, any open source operating system, any proprietary operatingsystem, any operating systems for mobile computing devices, or any otheroperating system capable of running on the computing device andperforming the operations described herein. Typical operating systemsinclude: WINDOWS 3.x, WINDOWS 95, WINDOWS 98, WINDOWS 2000, WINDOWS NT3.51, WINDOWS NT 4.0, WINDOWS CE, and WINDOWS XP, all of which aremanufactured by Microsoft Corporation of Redmond, Wash.; MacOS,manufactured by Apple Computer of Cupertino, Calif.; OS/2, manufacturedby International Business Machines of Armonk, N.Y.; and Linux, afreely-available operating system distributed by Caldera Corp. of SaltLake City, Utah, or any type and/or form of a Unix operating system,among others.

In other embodiments, the computing device 100 may have differentprocessors, operating systems, and input devices consistent with thedevice. For example, in one embodiment the computer 100 is a Treo 180,270, 1060, 600 or 650 smart phone manufactured by Palm, Inc. In thisembodiment, the Treo smart phone is operated under the control of thePalmOS operating system and includes a stylus input device as well as afive-way navigator device. Moreover, the computing device 100 can be anyworkstation, desktop computer, laptop or notebook computer, server,handheld computer, mobile telephone, any other computer, or other formof computing or telecommunications device that is capable ofcommunication and that has sufficient processor power and memorycapacity to perform the operations described herein.

In some embodiments, a first computing device 100 a executes anapplication on behalf of a user of a client computing device 100 b. Inother embodiments, a computing device 100 a executes a virtual machine,which provides an execution session within which applications execute onbehalf of a user or a client computing devices 100 b. In one of theseembodiments, the execution session is a hosted desktop session. Inanother of these embodiments, the computing device 100 executes aterminal services session. The terminal services session may provide ahosted desktop environment. In still another of these embodiments, theexecution session provides access to a computing environment, which maycomprise one or more of: an application, a plurality of applications, adesktop application, and a desktop session in which one or moreapplications may execute.

B. Systems and Methods for Analyzing and Transforming an Applicationfrom a Source Installation to a Target Installation

FIG. 2A illustrates a block diagram of an embodiment of a suite ofapplications and data types for analyzing and transforming anapplication from a source installation to a target installation. Inbrief, FIG. 2A shows a source code optimizer 180, source code translator181, source code generator 182, test support engine 183, a data typeconverter 184, agents for data conversion 185 and data migration 186,and documentation 187. Together, blocks 180-187 comprise agents oftransformer 230. Similarly, statistics data 188, analysis engine 189,configuration agent 190 and interface business rules 191 comprise agentsof analysis agent 228. Meta-model 192 interacts with both the analysisagent 228 and transformer 230, and is established by parser engine 193.Additional data types are available, such as database information 194,source code 195, screen information 196, and business purposeinformation 197.

Shown in FIG. 2B is a block diagram of another embodiment of a systemfor analyzing and transforming an application from a source installationto a target installation. In brief, bridge system 202 may be configuredwith a solution manager 212, which may include a collection agent 214and may be configured with a remote function call (RFC) user account216A and a dialog user account 218A. Source system 204 may be configuredwith a source installation 220, which may include a collection plug-in222A. Source installation 220 may also be configured with an RFC useraccount 216B and a dialog user account 218B. Target system 206 may beconfigured with a target installation 224, which may include acollection plug-in 222B. Target installation 220 may also be configuredwith an RFC user account 216C, a dialog user account 218C, and a tooluser account 226. As shown, Analyzer client 208 may be configured withan analysis agent 228 and a transformer 230. Configuration client 210may be configured with a configuration agent 232 and a manual conversionagent 234. In one embodiment, the collection agent 214 is able tocommunicate with collection plug-ins 222A and 222B via a network 104. Asshown, in some embodiments, analysis agent 228 and transformer 230 maybe configured to use RFC user accounts 216A-216C for communicating withsystems 202-206. Transformer 230 may also be configured to use tool useraccount 226. Additionally, in some embodiments, configuration agent 232and manual conversion agent 234 may be configured to use dialog useraccounts 218A-218C.

Still referring to FIG. 2B and in more detail, in some embodiments,bridge system 202 may be configured with or may execute a solutionmanager 212. In some embodiments, solution manager 212 may be anapplication, process, agent, function, routine, logic, or any type andform of executable instructions for snapshotting an installation. Insome embodiments, snapshotting or providing a snapshot of aninstallation comprises scanning and downloading components and/orassociations of an installation of an application, such as sourceinstallation 220. Snapshotting may also be referred to variously assaving, capturing, imaging, or storing an image, copy or an instance ofan installation. In additional embodiments, solution manager 212 mayfurther comprise functions for compressing a snapshotted image. In stillfurther embodiments, solution manager 212 may comprise or be associatedwith a storage medium capable of storing a snapshotted image. In oneembodiment, solution manager 212 may connect via a network to a sourceinstallation 220, described in more detail below. The solution manager212 may create a local copy of the entire source installation 220, or,in some embodiments, may parse the source installation 220 and copy aselected subset of the installation. For example, in one suchembodiment, solution manager 212 may parse the source installation 220for custom objects or code modified from a predetermined state of thesource installation, and store only a copy of the custom objects orcode. In another such embodiment, solution manager 212 may determine adifference between source installation 220 and target installation 224and store only the difference.

In many embodiments, solution manager 212 further comprisesfunctionality for identifying an object as being in a predeterminedstate or being in a modified state. For example, an object that has notbeen customized may, in some embodiments, be considered to be in apredetermined state. A predetermined state of an installation, in suchembodiments, may be the state of the installation prior to customizationor addition of custom objects, functions, or code. In furtherembodiments, solution manager 212 may comprise functionality foridentifying an object as an asset within-scope, such as a program, adatabase, or a screen, or an asset out-of-scope, such as atask-management system, a scheduler, an interface, a peripheral system,or a development environments. In yet further embodiments, solutionmanager 212 may comprise functionality for storing the identification ofobjects in a database, index, or list, which may be referred to as aworklist. In some embodiments, this worklist may sent to the analyzerclient 208, described in more detail below.

In many embodiments, solution manager 212 further comprisesfunctionality for checking an object or code for compliance with alanguage syntax 282 and/or semantic rules 284. For example, an object orcode modified with custom programming may no longer be compliant with astandard syntax. In such a case, solution manager 212 may identify theobject as being not in compliance. In another embodiment, an object orcode may be modified, but still be compliant with a standard syntax. Insuch a case, solution manager 212 may identify the object as beingcompliant.

In some embodiments, as shown in FIG. 2B, solution manager 212 maycomprise or include a collection agent 214. Collection agent 214 may bean application, process, agent, function, routine, logic, or any typeand form of executable instructions for downloading or copying all orpart of a source installation 220 to bridge system 202. In someembodiments, collection agent 214 connects via a network to a collectionplugin 222A and/or collection plugin 222B, described in more detailbelow. Collection agent 214 may, in some embodiments, comprise functionsfor downloading source installation data as described above. In furtherembodiments, collection agent 214 and collection plugins 222A and 222Bmay be a standard application type or comply with a standard applicationtype and be able to be executed by the source installation 220 and/ortarget installation 224 without necessary modifications.

As shown in FIG. 2B, solution manager 212, source installation 220 andtarget installation 224 may include user accounts, such as RemoteFunction Call (RFC) users 216A-216C, Dialog users 218A-218C, and Tooluser 226. RFC users 216A-216C (referred to generally as RFC user(s) 216)may be an account with authentication features, such as a login name andpassword or other security methods, and privileges allowing the accountto get data from and insert data into source installation 220 and/ortarget installation 224. In some embodiments, data inserted or retrievedfrom an installation may comprise objects, code, or functions. In someembodiments, RFC users 216 may also be referred to as System orCommunication users. In further embodiments, the Dialog users 218A-218C(referred to generally as Dialog user(s) 218) may be an account withauthentication features, similar to those mentioned with regard to RFCusers 216, and privileges allowing the account to interact with programsand functions of source installation 220 and/or target installation 224.In some embodiments, a dialog user 218 may have fewer privileges or morelimited access than an RFC user 216. In additional embodiments, the Tooluser 226 may be an account with authentication features, similar tothose mentioned with regard to RFC users 216 and Dialog users 218, andprivileges allowing the account to use modification tools on targetinstallation 224.

As shown in FIG. 2B, source system 204 may comprise a sourceinstallation 220. As discussed above, in connection with the discussionof source system 204, source installation 220 may be an installation orconfiguration of a version of one or more applications. In oneembodiment, the one or more applications may comprise an enterpriseresource planning (ERP) software, such as SAP Business Suite or SAP R/3,manufactured by SAP AG of Walldorf, Germany; Microsoft Dynamics,manufactured by Microsoft Corporation of Redmond, Wash.; PeopleSoft,manufactured by Oracle Corporation of Redwood Shores, Calif.; or anyother type and form of enterprise or manufacturing resource planningsoftware. In another embodiment, the one or more applications maycomprise any application that comprises a default or initialinstallation in a predetermined state, and modifications to objects fromthe default state. In yet another embodiment, the source system orsource installation may comprise any type or form of applicationcontaining modifications from an initial or default state. As shown,source installation 220 may include one or more RFC users 216 and/ordialog users 218, discussed above.

Additionally, source installation 220 may include or be configured witha collection plugin 222A (generally referred to as a collection plugin222). Collection plugins 222 may comprise logic, services, hookingfunctions, routines, or any other type and form of function forgathering data of an installation, such as source installation 220 ortarget installation 224. In some embodiments, collection plugins 222 mayfurther comprise functions for snapshotting or recording an image of aninstallation as the installation exists at a certain point in time. Insome embodiments, collection plugins 222 may include the ability to pushdata over a network to collection agent 214, while in other embodiments,collection agent 214 may pull data from the collection plugins.

Target system 206 may comprise a target installation 224. As discussedabove, in connection with the discussion of target system 206, targetinstallation 224 may be an installation or configuration of a second orsubsequent version of one or more applications, such as a versionsimilar to but different from a previous version of one or moreapplications on source system 204. As described above, sourceinstallation 220 may comprise custom objects, codes or functions. Usingthe methods and systems described herein, target installation 224 may beefficiently modified to comprise the custom objects, codes or functionsof source installation 220. In some embodiments, target installation 224may comprise additional modifications to allow the custom objects, codesor functions to execute or interact properly with the second version ofthe one or more applications. As shown, in some embodiments, targetinstallation 224 may include or comprise a collection plugin 222B, andmay include or be configured with accounts for RFC User 216C, DialogUser 218C, and Tool user 226, discussed above.

As shown, analyzer client 208 may comprise or include an analysis agent228 and/or a transformer 230. Analysis agent 228 may comprise one ormore applications, logic, functions, services, routines or executableinstructions of any type or form, for parsing a first and/or a secondinstallation of an application and creating a meta-model, described inmore detail below. In some embodiments, analysis agent 228 comprisesfunctions for downloading system objects identified by the solutionmanager 212 for transformation. In additional embodiments, analysisagent 228 comprises functions for parsing the source code of programs,databases, screens, task management systems, schedulers, interfaces,peripheral systems, development environments, and other libraries forkeywords, functions, objects, or code corresponding to a definedlanguage and syntax. In further embodiments, analyzer client 208 maycomprise functions for detecting syntax and language violations. In onesuch embodiment, analyzer client 208 may comprise functions tocategorize or identify the object, responsive to detected violations, asavailable for automatic upgrade, semi-automatic upgrade, or manualupgrade. In an additional embodiment, analyzer client 208 may comprisefunctionality for presenting the categorized objects and/or meta-modelto a user or administrator. In some such embodiments, presenting theobjects and or meta-model may comprise creating and presenting a report,and may include analysis of severity of required upgrades, expectedprocessing time, percentage of upgrade that may be performedautomatically, and/or cost to perform upgrading of the sourceinstallation.

Transformer 230 may comprise one or more applications, logic, functions,services, routines or executable instructions of any type or form, fortransforming a meta-model from one corresponding to one installation ofan application, to one corresponding to another installation of anapplication, such as between a first and second or subsequentinstallation of the application. In some embodiments, transforming ameta-model comprises applying rules for modifying an object from asyntax or code language associated with the first installation to asyntax or code language associated with the second installation. Forexample, in one embodiment, a first language may include a function forallowing text input into a database. The second language may include asimilar function, but add different possible text encodings, such asUnicode Transformation Format (UTF)-8 or punycode. In such anembodiment, the transformer 230 may apply a rule indicating to add adefault encoding type to the function. Thus, the object utilizing thefunction may then be used by the second installation with the secondlanguage and syntax. In some embodiments, transformer 230 furthercomprises functions for error checking transformed objects forcompliance with rules, language, and/or syntax standards. In anotherembodiment, transformer 230 further comprises functions for uploadingtransformed objects to target installation 224.

As shown, analysis agent 228 and transformer 230 may, in someembodiments, be configured to use RFC users 216A-216C on the solutionmanager 212, source installation 220, and target installation 224,respectively. This may enable analysis agent 228 and transformer 230 toretrieve and input data, code, and objects from and to these threesystems. In a further embodiment, transformer 230 may be configured touse tool user 226 on target installation 224. This may enabletransformer 230 to interact with system objects of the targetinstallation 224 that an RFC user may not be privileged to modify.

Also shown in FIG. 2B, configuration client 210 may, in someembodiments, comprise a configuration agent 232 and/or a manualconversion agent 234. In some embodiments, configuration agent 232 andmanual conversion agent 234 may be configured to use Dialog Users218A-218C, as shown. This may enable a user or administrator interactingwith configuration agent 232 and/or manual conversion agent 234 tofurther interact with solution manager 212, source installation 220,and/or target installation 224. In an embodiment not illustrated,configuration agent 232 and/or manual conversion agent 234 may also beable to control or interact with analysis agent 228 and/or transformer230 for the purpose of modifying their settings.

Configuration agent 232 may comprise one or more applications, routines,services, functions or executable instructions of any form or type forconfiguring a rules engine 248, discussed in more detail below. In otherembodiments, configuration agent 232 may comprise functions forconfiguring solution manager 212, source installation 220, and/or targetinstallation 224. For example, in one such embodiment, configurationagent 232 may configure the solution manager 212 to only scan certaindatabases when snapshotting and categorizing objects.

Manual conversion agent 234 may comprise one or more applications,routines, services, functions or executable instructions of any form ortype for allowing a user or administrator to perform modifications toobjects categorized for semi-automatic or manual upgrade. In someembodiments, manual conversion agent 234 may present a dialog to a user,indicating the object to be upgraded, and a language or syntax issuethat could cause an error if the object is installed in targetinstallation 224. In some embodiments, manual conversion agent 234 mayalso present suggested modifications to the object, based on rulesapplied by the analysis agent 228. In further embodiments, manualconversion agent 234 may comprise functions for modifying the object,responsive to an instruction from the user. In a further embodiment,manual conversion agent 234 may comprise functions for uploading themodified object to target installation 224 and/or analyzer client 208.In one example embodiment, the manual conversion agent 234 may present adialog to a user indicating that an object of the source installation,when upgraded to the target installation, may perform an illegaloperation due to differences in syntax, such as dividing by a variablethat has been set to zero. The user may instruct the manual conversionagent 234 to make a modification, such as changing the value of thevariable, or directing the operation to a different variable.

Shown in FIG. 2C is another embodiment of a system for analyzing andtransforming an application from a source installation to a targetinstallation. In brief, source system 204 may comprise a sourceinstallation 220 and collection plugin, 222A, discussed above. Bridgesystem 202 may comprise a solution manager 212, discussed above, whichmay comprise an object analyzer 236, syntax checkers 238A-238B, unicodechecker 252 and post-processing agent 254. Analyzer client 208 maycomprise an analysis agent 228, which may further comprise a downloadengine 240 and an analysis engine 242. The analysis engine maycategorize code as automatic code 244A, semi-automatic code 244B, ormanual code 244C. Semi-automatic code 244B is passed to a rule engine246 configured on transformer 230. Rule engine 246 may apply rules tothe semi-automatic code 244B, and pass the code to conversion engine248. Automatic code 244A is passed from the analysis agent 228 to theconversion engine 248. Automatic code 244A and semi-automatic code 244Bare passed from the conversion engine 248 to the upload engine 250. Theupload engine 250 may upload converted automatic code 244A andsemi-automatic code 244B and unconverted manual code 244C to bridgesystem 202 and solution manager 212. Configuration client 210 maycomprise a configuration agent 232, which may configure rule engine 246of transformer 230, and a manual conversion agent 234, which mayinteract with post-processing agent 254 of solution manager 212.Although not shown, solution manager 212 may, in some embodiments,comprise an upload engine 250′ for transmitting processed and convertedcode to target installation 224 of target system 206.

Still referring to FIG. 2C and in more detail, solution manager 212 maybe configured with an object analyzer 236. In some embodiments, objectanalyzer 236 may comprise one or more applications, routines, services,functions or executable instructions of any form or type for analyzingan object obtained from collection plugin 222A. Although not shown,object analyzer 236 may further comprise functions for downloadingobjects identified by collection plugin 222A, such as a collection agent214 discussed above. Analyzing an object, as discussed above inconnection with solution manager 212, may comprise determining if theobject is compliant with a standard syntax and identifying the object,responsive to the determination, as compliant or non-compliant.Accordingly, and as shown, object analyzer 236 may interact with syntaxchecker 238A. In some embodiments, syntax checker 238A is a separateprocess, while in others, syntax checker 238A is a function orsubroutine of object analyzer 236. In still other embodiments, objectanalyzer 236 may be a function or subroutine of syntax checker 238A.

Syntax checker 238A may, in some embodiments, comprise one or moreapplications, routines, services, functions or executable instructionsof any form or type for comparing an object to a standard syntax. Insome embodiments, syntax checker 238A may comprise associated libraries,dictionaries, databases, or other data structures identifying syntax,functions, connectors, comments, instructions, code, or other objects ofone or more languages. For example, in one embodiment, syntax checker238A may include or be associated with a library defining objects in theAdvanced Business Application Programming (ABAP) language designed bySAP AG of Walldorf, Germany. In another embodiment, syntax checker 238Amay include a library defining objects in Java, PHP, Python, Perl, SQL,or any other code language. In some embodiments, syntax checker 238Acompares code within an object identified by or obtained from collectionplugin 222A with code in the library defining objects in a relatedlanguage. In one example embodiment, syntax checker 238A receives anobject from collection plugin 222A that comprises a WRITE command. Thesyntax checker 238A compares the object to a dictionary, which indicatesthat the WRITE command has been replaced by a WRITE TO command.Responsive to this comparison, the syntax checker 238A and/or objectanalyzer 236 identifies the object as being non-compliant. In someembodiments, the identification of an object as compliant ornon-compliant may be in a separate object, database, registry, or datastructure, while in other embodiments, the identification may beinserted into the object.

As shown, analysis agent 228 may include a download engine 240. Downloadengine 240 may comprise hardware and/or software components comprisingfunctions or executable instructions for downloading one or more objectsand/or identifications of objects as compliant or non-compliant fromsolution manager 212. In some embodiments, download engine 240 utilizesan RFC user account on solution manager 212 to download objects and/oridentifications, as discussed above.

Analysis engine 242 may, in some embodiments, comprise one or moreapplications, routines, services, functions or executable instructionsof any form or type for analyzing a capability of an object for upgradeto a target installation. For example, in one embodiment, an objectidentified as compliant with syntax of the language of the targetinstallation may be determined to be capable of automatic upgrading andbe identified as automatic code 244A. In one such embodiment, the objectmay need no modifications to be used by the target installation 224. Inanother such embodiment, the object may be identified as non-compliant,but need only minor modifications. For example, a comment indicator (“)used by the language of the source installation may be converted to acomment indicator (#) of the language the target installation withoutrequiring additional analysis. Similarly, a function that included novariables in the source installation, such as CLOSE may be converted toa function that includes optional variables in the target installation,such as CLOSE( ) without requiring additional analysis.

In another embodiment, analysis engine 242 may determine that anon-compliant object needs modifications that may be performedautomatically, but also needs modifications that require additionalinput, such as from a user or developer. This may be referred to assemi-automatic code. For example, in one embodiment, source installationobjects may include unicode characters, binary data, or a mix of binarydata. In one such embodiment, the target installation may include afunction that interacts with objects differently if they are binary orunicode. In such an embodiment, the analysis engine 242 may indicatethat some of the objects—those that are solely binary or unicode—may beconverted automatically, while objects that are mixed binary and unicodemay require a user to designate a mode. In such an embodiment, analysisengine 242 may indicate that the objects are semi-automatic code 244B.In another example, an object of the source installation may contain afunction that writes into a database. In one such embodiment, the targetinstallation may have more than one corresponding database. For example,source installation 220 may be a single user environment and have onlyone user database, while target installation 224 may be a multi-userenvironment. In some embodiments, the WRITE function may need to havemodifications that can be performed automatically, such as the additionof optional variables, or conversion to a WRITE TO statement, andmodifications that require input from a user, such as a path to aspecific directory or database in the multi-user environment of thetarget installation. Again, in such an embodiment, analysis engine 242may indicate that the objects are semi-automatic code 244B.

In another embodiment, analysis engine 242 may indicate that anon-compliant object may not be automatically or semi-automaticallyconverted to the language and/or syntax of the target installation 224,and may identify the object as manual code 244C. For example, a sourceinstallation object may use a function of the source installationlanguage that has been obsoleted or for which no corresponding functionexists in the target installation. In one such embodiment, the sourceinstallation object may read from a common memory. However, in thetarget installation, a common memory may have been replaced by isolatedmemory for privacy and security reasons. Accordingly, a READ COMMONfunction may be obsolete. Upgrading the function or an object using thefunction may, in such an embodiment, require further input not availableto the transformer 230. Responsive to this determination, analysisengine 242 may indicate that the object is manual code 244C.

In further detail of some of the embodiments of automated systems andmethods, an object of a source installation may have elements capable ofbeing upgraded, transformed, or converted to a language and syntax of atarget installation in a manner essentially independent of additionaluser, developer input, or other external control. These elements may bereferred to as automatic code, or automatic elements. In otherembodiments, an object may have elements that are incapable of beingupgraded, transformed, or converted to a language and syntax of a targetinstallation in a manner essentially independent of additional user,developer input, or other external control. These elements may bereferred to as manual code, or manual elements. In some embodiments, anobject may have a combination of both automatic elements and manualelements. In these embodiments, the ratio of elements that are capableof upgrade to elements in the object may used to determine an automationvalue for the object. In further embodiments, the automation value maybe compared to one or more thresholds. For example, if the automationvalue is equal to or less than a first threshold, the object may becategorized as manual. If the automation value is equal to or greaterthan a second threshold, the object may be categorized as automatic. Ifthe automation value is greater than the first threshold, but less thanthe second threshold, the object may be categorized as semi-automatic.In some embodiments, the first threshold may be set at zero, such thatan object may be categorized as manual only if it has no elements thatare capable of upgrade. In other embodiments, the second threshold maybe set at 1, such that an object may be categorized as automatic only ifit has no elements that are incapable of upgrade.

In a further embodiment, analysis engine 242 may create a meta-modelrepresentative of one or more objects of source installation 220. Themeta-model, in some embodiments, may be a syntax tree or abstract syntaxtree, and may represent relationships between the one or more objects ofthe source installation 220. In further embodiments, the meta-model maybe presented to a user in either a textual or graphical format. Inadditional embodiments, the meta-model may contain links tocorresponding source code of the one or more objects. In suchembodiments, an element in the meta-model may maintain or include areference to the original source file and line number. In furtherembodiments, the meta-model may also comprise a mapping of elements toobjects. The meta-model, in many embodiments, is a generic structure ofnodes, representing objects, and connectors, representing relationshipsbetween objects. In such embodiments, the meta-model has no syntaxitself and does not correspond to a specific language. In additionalembodiments, the meta-model may be used for processing and transformingobjects of the source installation into objects usable by the targetinstallation by finding and replacing patterns of connections. In someembodiments, the meta-model may map mutual relationships between objectsand characterize relationships as static or dynamic. In suchembodiments, a dynamic relationship between objects may change duringruntime. For example, a first object may depend alternately on a secondobject or a third object, responsive to an indicator within a fourthobject. When the indicator within the fourth object changes, the firstobject's dependency likewise changes. In other embodiments, themeta-model may map the relationship of objects to other system entities,such as data elements, operating system programs, system applicationprograms, transactions, environment settings, etc.

In some embodiments, analysis engine 242 may further comprise functionsfor inserting comments into source code of an object. These comments mayindicate suggested modifications to the object or potential errors orwarnings if the object is not further modified. For example, asdiscussed above, an object classified as semi-automatic code 244B mayrequire explicit identification of a working directory on the targetinstallation 224 that does not correspond to a directory existing onsource installation 220. Accordingly, analysis agent may add a commentto source code of the object indicating that a user should add explicitidentification of a working directory.

Analysis agent 242 may also, in some embodiments, comprise functions orexecutable instructions for generating a report and/or presenting thereport to a user. In these embodiments, the report may include analysisof ratios of automatic code, semi-automatic code, and manual code244A-244C, and may include descriptions of objects, likelihood of errorswhen transforming objects, estimated time and/or cost to transformobjects, and may include graphs, charts, and/or text. The report mayalso include a graphical or textual representation of the meta-model.

In additional embodiments, analysis agent 242 may be configured by auser with analysis rules. In these embodiments, analysis rules may beused to ensure that relevant information of interest to the user will beanalyzed while increasing efficiency of analysis by ignoring otherinformation. For example, rules may be set to allow analysis of justcompliant or non-compliant objects, rather than both sets of objects. Insome embodiments, rules may be selected to allow or disallow analysis ofobjects with unicode violations; analysis of objects that must changewith a transformation; analysis of obsoleted objects; analysis ofstatistics relating to the transformation, such as time and/or cost; andanalysis of transformations in specified languages, such as ABAP orJava. As referred to herein, unicode may be source code that complieswith syntax and language rules of the target installation. Althoughreferred to as unicode, it does not designate a specific embodiment ofunicode, such as the unicode standard for text. Rather, unicode maysimply refer to a language utilized by a target or source installation,such as Java, Python, Perl, PHP, or any other type and form of computinglanguage. In additional embodiments, analysis rules may be configured todetermine elements in the meta-model that match customer-definedcharacteristics, such as invocation of customer programs, use of text,specified modification dates, or any other type and form of informationrelating to or associated with an element.

In some embodiments, the analysis agent 242 may be used outside of atransformation context, to analyze custom code for objects in a sourceinstallation as they are being written. For example, the analysis agentmay be used to measure whether coding standards are being followed, bydetermining if an object may be classified as automatic code 244A fortransformation to a hypothetical target installation 224 that isidentical to source installation 220. A determination that the object issemi-automatic code 244B or manual code 244C may indicate thatadditional data should be added to the object, such as full path namesto directories or explicit indication of ASCII or binary data in astring.

As shown in FIG. 2C, transformer 230 may include a rule engine 246. Insome embodiments, this rule engine may be configured by a configurationagent 232 on configuration client 210. Rule engine 246 may comprise anapplication, process, agent, function, routine, logic, or any type andform of executable instructions for modifying semi-automatic code 244Bin accordance with rules selected or configured by a user usingconfiguration agent 232. For example, as described above, an objectclassified as semi-automatic code 244B may require explicitidentification of a working directory on the target installation 224that does not correspond to a directory existing on source installation220. A user may select or configure a rule that identifies a workingdirectory to be added to the source code of the object. Rules engine 246may then apply this rule and modify the object accordingly. In someembodiments, selecting or configuring rules may be referred to asparameterization.

Objects that are identified as automatic code 244A or have been modifiedby the rules engine 246 may, in some embodiments, be sent to conversionengine 248. Conversion engine 248 may comprise an application, process,agent, function, routine, logic, or any type and form of executableinstructions for transforming objects from a language associated with asource installation to a language associated with a target installation.In many embodiments, rules engine 246 and conversion engine 248 maycomprise similar functionality, with conversion engine 248 applyingpreset or predetermined rules. In such embodiments, conversion engine248 may comprise or be associated with a database or data structurecontaining predetermined rules for a language or languages to allowconversion. Unlike rules configured by configuration agent 232 andapplied by rules engine 246, rules applied by the conversion engine 248may, in some embodiments, be unmodifiable by a user. In someembodiments, rule engine 246 and conversion engine 248 may be combined,and may use a single rules database. In further embodiments,configuration agent 232 may be permitted to modify only a subset ofpredetermined rules in the rules database. One example of apredetermined rule may be a rule indicating that a comment tag from alanguage associated with a source installation (“) may be transformed ormodified to a comment tag from a language associated with a targetinstallation (#). Accordingly, in one embodiment of this example,conversion engine 248 may replace comment tags in a source code of anobject responsive to the rule.

As shown, transformer 230 may further comprise an upload engine 250.Upload engine 250, similar to download engine 240, may comprise hardwareand/or software components for uploading or transferring objects tobridge system 202. In some embodiments and as illustrated, upload engine250 may upload converted or transformed automatic code andsemi-automatic code 244A-244B, and may further upload unconverted manualcode 244C. In some embodiments, download engine 240 utilizes an RFC useraccount on solution manager 212 to upload objects, as discussed above.

Solution manager 212 may further comprise a unicode checker 252 and asyntax checker 238B, as shown in FIG. 2C. Unicode checker 252 maycomprise an application, process, agent, function, routine, logic, orany type and form of executable instructions for checking unicodecompliance of a transformed object. Similarly, syntax checker 238B maycomprise an application, process, agent, function, routine, logic, orany type and form of executable instructions for checking objectcompliance with syntax of a language associated with target installation224. In some embodiments, responsive to failure to comply with syntaxand/or unicode, solution manager 212 may present warnings or errors to auser. In other embodiments, responsive to failure to comply with syntaxand/or unicode, solution manager 212 may send the object back toanalysis agent for re-analysis and re-transformation.

Solution manager 212 may comprise a post-processing agent 254.Post-processing agent 254 may comprise an application, process, agent,function, routine, logic, or any type and form of executableinstructions for modifying an object, responsive to instructions from auser interacting with manual conversion agent 234, on configurationclient 210. In some embodiments, manual conversion agent 234 maycomprise an editing application allowing a user to modify source code ofan object, and may include features such as automatic recognition offunctions of a language; display of comments, such as those inserted byanalysis engine 242; and any other features useful to a developer.Although not shown, post-processing agent 254 and manual conversionagent 234 may comprise functionality for communicating over a network toallow a user interacting with configuration client 210 to modify anobject stored on bridge system 202. In an example embodiment, an objectcategorized as manual code 244C may be edited by a user via manualconversion agent 234 and post-processing agent 254 to repair unicode,functions, language features and/or syntax inconsistent with a languageassociated with target installation 224.

Although not illustrated in FIG. 2C, solution manager 212 or bridgesystem 202 may further comprise hardware and/or software components foruploading modified and/or post-processed objects to target installation224.

Referring now to FIG. 2D, illustrated is a block diagram of anembodiment of an analysis and transformation of a source installationinto a target installation. As described above, a source installation220 on source system 204 may be analyzed to create a meta-model 254. Asshown, meta-model 254 may comprise objects, or nodes, and links orstructure representative of dependencies and interactions between nodes.In some embodiments, the meta-model 254 may be transformed intotransformed meta-model 256, responsive to predetermined rules and/orconfigured rules. For example, in a language associated with sourceinstallation 220, a first node representing an function may be dependenton a second node representing an included library of the function.However, in a language associated with target installation 224, thefirst node representing the function may be dependent on both a secondand third node representing two included libraries. Alternately, thefirst node representing the function may, in the language associatedwith the target installation 224 have no dependencies due to explicitinclusion of code in the included library. Accordingly, in this exampleembodiment, transforming the meta-model 254 to transformed meta-model256 may comprise moving the first node representing the function to ahigher level within the abstract syntax tree.

Shown in FIG. 2E is a block diagram of an embodiment of a transformationprocess 258. In brief, an optimization engine 262 may applymodernization rules 260 to create an optimized abstract syntax tree 266.The optimized abstract syntax tree 266 may be further modified by aprogrammer 264 to create target code 270, associated with a targetlanguage syntax dictionary 268. Using test data 272, the target code maybe tested at 274.

Still referring to FIG. 2E and in more detail, modernization rules 260may include a language token or tokens 278, language syntax 282, andsemantic rules 284. A token 278 may be a structured element of code asdefined by the source language. For example, in the expression“print=(hello world);”, tokens 278 include “print”, “=”, “(”, “hello”, “”, “world”, “)”, and “;”. Determining tokens in source code is sometimesreferred to as tokenization or tokenizing, and may, in some embodiments,be performed by lexical analysis engine 280, and configured onoptimization engine 262. In some embodiments, language tokens 278 may becodified and, in some embodiments, stored in a database, dictionary, orother data structure.

Lexical analysis engine 280 may comprise an application, process, agent,function, routine, logic, or any type and form of executableinstructions for locating and interpreting language tokens within sourcecode of an object, as described above.

Language syntax 282 may be a representation of a grammar system within alanguage. A grammar may, in some embodiments, address location andmanipulation of tokens. For example, a token of a semi-colon, used inthe above example, may indicate in a language that it is the end of astatement. Tokens after the semi-colon may apply to the followingstatement, while those before the semi-colon apply to the precedingstatement. Language syntax 282 may, in some embodiments, be stored in adatabase, dictionary, or other data structure. In some embodiments,parser engine 284, configured on optimization engine 262 may use grammaridentified by language syntax 282 to parse tokens identified by lexicalanalysis engine 280. This may be referred to variously as syntacticanalysis, semantic parsing, parsing, or analyzing.

As shown, parser engine 284 may comprise an application, process, agent,function, routine, logic, or any type and form of executableinstructions for interpreting language tokens located in a source codewith language syntax 282 to create an abstract syntax tree 288, alsoreferred to above as a meta-model 254, by applying semantic rules 286.Semantic rules 286 may, in some embodiments, be stored in a database,dictionary or other data structure accessible to parser engine 284. Insome embodiments, parser engine 284 may comprise a top-down parser, suchas a recursive descent parser, or a Left-to-right, Leftmost derivation(LL) parser. In other embodiments, parser engine 284 may comprise abottom-up parser, such as a precedence parser, a bounded context (BC)parser, or a Left-to-right, Rightmost derivation (LR) parser.

Using any of the methods or functions described herein, programmer 264may convert abstract syntax tree 288 to an optimized abstract syntaxtree 266. Programmer 264 may, in some embodiments, comprise part or allof analysis agent 228, discussed in more detail above. Optimizedabstract syntax tree 266 may be a transformed meta-model 256, discussedabove. In some embodiments, optimization of an abstract syntax tree 266may be performed responsive to semantic rules and language syntaxassociated with a target language syntax dictionary 268. Objects of asource installation may be transformed to target code 270, responsive todifferences between the optimized abstract syntax tree 266 and abstractsyntax tree 288.

In some embodiments, test data 272 may be applied to target code 270 fortesting purposes 274. In further embodiments, testing may be performedby a user, while in other embodiments, testing may be performed by aservice or application identifying errors such as buffer overruns,unescaped loops, and other programming errors.

Shown in FIG. 3 is a flow chart illustrating an embodiment of a method302 of analyzing and transforming an application from a sourceinstallation to a target installation. In brief, at step 304, a snapshotis taken of a source installation. At step 306, a determination is madeas to whether the source installation may be upgraded. If the sourceinstallation cannot be upgraded, the method exits and may, in someembodiments, return an error or display further instructions. If thesource installation may be upgraded, then at step 308, the project isdefined and configured. At step 310, an object may be downloaded fromthe source installation. At step 312, an identification of the objectmay be made to determine if it has been modified from a predeterminedstate. In some embodiments not illustrated, responsive to adetermination that the object has not been modified, the object may bediscarded, and the method may move to step 318, described below. If theobject has been modified, then at step 314, the object may be parsedinto a set of elements. At step 316, a meta-model may be generatedrepresenting the modified object. At step 318, a determination may bemade as to whether more objects exist in the source installation. If so,steps 310-318 may be repeated. In some embodiments, repetition of step316 may comprise modifying a generated meta-model to includerepresentations of each additional modified object parsed duringrepetitions of step 314.

At step 318, analysis rules may be applied to each element in themeta-model. At step 320, a determination may be made as to thetransformation capability of each object. At step 322, a report may begenerated and, in some embodiments, displayed to a user. At step 324,the user may customize analysis rules. If analysis rules have beencustomized, then steps 318-324 may be repeated. If analysis rules arenot customized at step 324, then at step 326, the meta-model may betransferred to a transformer, discussed above. At step 328,transformation rules may be applied to the meta-model to create atransformed meta-model. At step 330, an object may be modified togenerate a transformed object, responsive to dependencies and rulesassociated with the transformed meta-model. At step 332, a determinationmay be made as to whether more objects exist. If so, steps 330 and 332may be repeated. If not, then at step 334, a comparison report may begenerated comparing transformed objects with their untransformed states.At step 336, a user may customize transformation rules. If the rules arecustomized, then steps 328-336 may be repeated. At step 338, thesnapshot taken at step 304 may be compared with a current state of thesource installation. If the source installation has changed, then steps304-338 may be repeated.

At step 340, transformed objects may be uploaded to the targetinstallation. At step 342, the target installation may bepost-processed, which may comprise making additional manual changes toobjects uploaded to the target installation. At step 344, the targetinstallation may be compiled and/or tested.

Still referring to FIG. 3 and in more detail, at step 304, a snapshotmay be taken of a source installation. As described above, in someembodiments, taking a snapshot may comprise storing a copy of one ormore objects of a source installation as they exist at a certain time.In further embodiments, only part of the source installation may besnapshotted. For example, in one such embodiment, only customized ormodified objects of the source installation may be snapshotted, to saveanalyzing unnecessary elements.

At step 306, in some embodiments, a determination may be made whetherthe source installation may be upgraded. For example, in one suchembodiment, the source installation may already have been upgraded tothe same version as the target installation, and thus not requireupgrading. In some embodiments, the source installation and targetinstallation may not be compatible for an upgrade. In some embodiments,the system determines the number of changes, issues or non-compliancyexceed a predetermined threshold for upgrading to the target system.

At step 308, the project may be defined and configured. In someembodiments, defining and configuring the project may comprise selectinga version and/or language for a target installation. In additionalembodiments, configuring the project may comprise installing andconfiguring a target installation in a default or predetermined state,lacking customized objects. In a further embodiment, configuring theproject may comprise setting up RFC, Dialog, and Tool user accounts, asdiscussed above.

At step 310, an object may be downloaded from a source installation,using any of the methods and systems described herein, such as acollection agent and a collection plugin. At step 312, the object may beidentified as modified from a predetermined state. In an alternateembodiment not shown, steps 310 and 312 may be reversed, such thatobjects are identified as modified before they are downloaded. Such anembodiment may allow the system to avoid downloading unmodified objects,as discussed above. In some embodiments, identifying an object modifiedfrom a predetermined state may comprise identifying an object that doesnot exist in a source installation. For example, a custom database maynot exist in a default source installation, and accordingly may beconsidered to be a modified object.

At step 314, the object may be parsed into a set of elements, using anyof the methods and systems described herein. For example, an objectsource code may be tokenized and parsed to determine elements andrelationships between elements.

At step 316, a meta-model may be created and/or modified to include theelements and relationships identified at step 314, using any of themethods and systems described above. For example, creating themeta-model may comprise creating an abstract syntax tree representativeof the elements and their interrelationships. The system may generate ameta-model for all the elements of the source installation. In someembodiments, the system may generate a meta-model for a portion ofelements of the source installation, such as the elements identified aschanged from the predetermined state.

At step 318, a determination may be made as to whether more objectsand/or modified objects exist in the source installation, and if so,steps 310-318 may be repeated. In some embodiments, this determinationmay be made by comparing the number of nodes in the meta-model with thenumber of identified objects in the source installation snapshot. Inother embodiments, this determination may be made by failing to locatean additional object or modified object that has not yet been downloadedand parsed.

At step 318, analysis rules may be applied to each element in themeta-model. At step 320, a transformation capability may be determinedfor each object. For example, an object may be classified as automaticcode, semi-automatic code, or manual code, as described above. At step322, a report may be generated. In some embodiments, applying analysisrules comprises performing the functions described above in connectionwith the analysis client and/or analysis engine. In additionalembodiments, generating a report comprises analyzing statistics of thetransformation capability of each object, such as determining ratios ofautomatic, semi-automatic, and manual code, and determining cost and/ortime to perform upgrades, as described above.

At step 324, analysis rules may be customized, and steps 318-324repeated. For example, responsive to determining that upgrading may betoo costly due to a large number of objects to be transformed, a usermay modify analysis rules to exclude a portion of the objects. Steps318-324 may be repeated in some embodiments until the user is satisfiedwith the outcome indicated by the generated report.

At step 326, the meta-model may be transferred to the transformer. Insome embodiments, transferring the model may comprise transmitting themodel to the transformer, while in other embodiments, transferring themodel may comprise the analysis client instructing the transformer toaccess the model on a shared memory element.

At step 328, the transformer may apply transformation rules to themeta-model to generate a transformed meta-model, using any of thesystems and methods discussed herein. In one embodiment, applyingtransformation rules may comprise locating a pattern in the meta-modelcorresponding to an entry in a transformation rule database. In afurther embodiment, applying transformation rules may comprise modifyingan abstract syntax tree according to a rule associated with an entry ina transformation rule database. For example, in one such embodiment, thetransformer may determine that a first element is dependent on a secondelement. The transformer may further determine that the second elementis a function call, such as a WRITE instruction. The transformer maylocate a rule in the rule database associated with target installationlanguage matching a first element dependent on a WRITE instruction, andapply the rule to modify the WRITE instruction to a WRITE TOinstruction.

At step 330, in some embodiments, the transformer may generate atransformed object according to the transformed meta-model. In someembodiments, generating a transformed object comprises modifying asource object. In other embodiments, generating a transformed objectcomprises generating a new object. In one embodiment, a transformedobject may be generated responsive to transformation rules, discussedabove. For example, an object including code representing a WRITEinstruction, as discussed at step 328, may be modified to include coderepresenting a WRITE TO instruction. Further changes may be maderesponsive to transformation rules and/or the transformed meta-model.For example, a first object dependent on a second object in the originalmeta-model may be dependent on a third and fourth object in thetransformed meta-model. Accordingly, at step 330, the transformer mayreplace, in source code of the first object, references to the secondobject with references to the third and/or fourth object. In an exampleof one such embodiment, in a source installation, a first objectcomprising a human resources database, may be dependent on anotherobject comprising an organizational hierarchy. However, in thetransformed meta-model, the human resources database may furthercomprise organizational hierarchy and not be dependent on a secondobject. Accordingly, in this example embodiment, the transformer maymodify the first object to further comprise fields indicating levels andinterconnections previously described in object comprising theorganizational hierarchy. In further embodiments, generating atransformed object may comprise generating an object that possessesdesired characteristics defined by the transformation rules, such asbeing free of syntax violations and/or naming convention errors, or anyother type of characteristic of a source code that may be desired by auser.

At step 332, a determination may be made if more objects exist, usingsimilar methods to those described above at step 318. If so, steps330-332 may be repeated.

At step 334, a comparison report may be generated. In one embodiment, acomparison report comprises a comparison of untransformed elementsand/or objects and transformed elements and/or objects. In a furtherembodiment, the comparison report may be displayed or presented to auser. For example, in an embodiment of the example discussed above atstep 330, a report may be generated showing (a) the first objectcomprising the human resources database with source code showingdependency on the second object comprising the organizational hierarchy;and (b) the first object comprising the human resources database withsource code showing no dependency on the second object, but ratherincluding additional data representing the hierarchical levels andinterconnections.

At step 336, the user may customize the transformation rules. In someembodiments, this may be done for increasing efficiency, adjusting forundesired behavior, or any other reason. Referring to the examplediscussed above at step 334, a user may decide that it is preferable tomaintain the separate human resources database and organizationalhierarchy, and may adjust the transformation rules to exclude or disablethis transformation. In another example, an organization may beexpanding simultaneously with upgrading, and may be adding additionalmanufacturing locations. In such an example, a user may modify thetransformation rules to incorporate the additional resources for eachnew manufacturing location, such as additional inventory databases,additional shipping locations, or any other type and form of resource orobject. In some embodiments, if the user has customized or modified thetransformation rules, steps 328-336 may be repeated.

At step 338, the analysis client may determine if the sourceinstallation has changed since the snapshot was taken. This could occur,for example, if analysis, transformation, and customization have taken asignificant amount of time. If so, steps 304-338 may be repeated. Insome embodiments, repeating steps 304-338 may comprise repeating steps304-338 only on objects that have been modified in the sourceinstallation since the previous snapshot. These embodiments may reduceanalysis, transformation, and customization time greatly, as onlyobjects that have changed will need to be re-analyzed and transformed.In further embodiments, transformed objects that have not changed in thesource installation may be stored on a storage element until thedetermination at step 338 indicates that no further changes haveoccurred in the source installation.

Responsive to no further changes having occurred in the sourceinstallation since the previous snapshot was taken, at step 340, theobject transformations may be applied to the target installation. Insome embodiments, applying the transformations may comprise uploading ortransmitting transformed elements and/or objects to the targetinstallation, using any of the methods or systems discussed herein.

At step 342, the target installation may be post-processed. In someembodiments, post-processing the target installation may compriseediting manual or semi-automatic code, as discussed above. In additionalembodiments, post-processing the target installation may compriseoptimizing the installation. For example, optimization may includecompressing the installation, removing unnecessary comments and/or code,cleaning up or removing unused variables, or any other type and form ofsource code optimization.

At step 344, the target installation may be tested. In some embodiments,step 344 may further comprise compiling the target installation. Inother embodiments, the target installation does not require compiling,for example, if all objects are XML objects. In some embodiments,testing the target installation comprises installing test data to thetarget installation, performing modifications to objects and databases,and verifying expected results. In some embodiments, responsive toerrors during testing, one or more steps of method 302 may be repeated,for example steps 328-344.

C. Example Embodiment of a System for Analyzing and Transforming anApplication from a Source Installation to a Target Installation

Shown in FIGS. 4-14 are screenshots of an exemplative embodiment of asystem for analyzing and transforming an application from a sourceinstallation to a target installation. The screenshots are intended forillustrative purposes only and are not intended to be limiting. In someembodiments, these screenshots may be presented to a user using ananalysis client and/or configuration client, described above. In thefollowing descriptions, the system will be referred to as executing on aclient. However, in many embodiments, the system may execute on a bridgesystem, a source system, or a target system, described above.

Shown in FIG. 4 is a screenshot of an exemplative embodiment of adatabase connection window. In some embodiments, the database connectionwindow may provide a list 402 of databases previously used or connectedto. Selecting a database from the list of previously used databases may,in some embodiments, allow a user to avoid having to type in one or moreof a nickname 404, URL 406, username 408, password 410, and schema 412.In some embodiments, previously entered nicknames 404 may be displayedin list 402. In other embodiments, list 402 may display URLs 406 ofpreviously used or connected to databases. In some embodiments username408 and password 410 may provide authentication, such as that discussedwith regard to RFC users, dialog users, and tool users, above. In someembodiments, schema 412 may comprise an indicator of a type ofcommunication. For example, schema 412 may be “RFC”, representing aremote function call; “BAPI”, representing a business applicationprogramming interface; “BDC”, representing a batch data communication;or an indicator of any other type and form of communication method. Inone embodiment, where schema 412 is “RFC”, username 408 and password 410may be entered for a corresponding RFC User account, as discussed above.

Shown in FIG. 5 is a screenshot of an exemplative embodiment of a SAPsystem selection dialog. In some embodiments, once connected to adatabase through the connection window shown in FIG. 4, the selectiondialog shown in FIG. 5 is presented to a user. In some embodiments, theselection dialog comprises fields for a connection 502, host 504, systemnumber 506, username 508, and description 510. In further embodiments,connection 502 and/or host 504 may represent a URL or IP number of asystem, such as a bridge system, a source system, or a target system, asdiscussed above. In some embodiments, fields 502-510 may be populatedautomatically for an entry through a discovery means. In otherembodiments, fields 502-510 may be populated automatically for an entrythrough recall from a previously stored value. In still otherembodiments, fields 502-510 may be populated manually by a user enteringdata, as described below in connection with FIG. 6. For example, a usermay create or edit entries by selecting the new or edit buttons,respectively. In some embodiments, entries may be deleted by a userselecting the delete button. In still other embodiments, connection to asystem, such as bridge system, source system, or target system, may betested by a user selecting the corresponding entry and selecting thetest button. In such an embodiment, the client may test a connection tothe selected entry by, for example, transmitting a network ping to thecorresponding IP. In further embodiments, testing a connection maycomprise the client verifying a username, password, and/or otherauthentication parameters on the selected system.

Shown in FIG. 6 is a screenshot of an exemplative embodiment of ansystem definition dialog. In some embodiments, this dialog is presentedto a user responsive to the user selecting the new or edit buttons shownin FIG. 5. As shown, the definition dialog may comprise a connectiondescription 602, a connection logical name 604, a host address 606, asystem number 608, a client number 610, a username 612, a password 614,a system identification (SID) 616, a pool size 618, a language 620, anda system type 622. In one embodiment, responsive to the user selectingthe test button, connection to the defined system may be tested asdescribed above.

Shown in FIG. 7 is a screenshot of an exemplative embodiment of acustomer selection dialog. As shown, an entry in the customer selectiondialog may comprise a customer number 702, a first name part 704, asecond name part 706, a city 708, a country 710, and a system type 712.Although not illustrated, responsive to a user selecting the new button,a customer definition dialog may be presented to the user. In someembodiments, the customer definition dialog is similar to the systemdefinition dialog illustrated in FIG. 6.

Shown in FIGS. 8A and 8B are screenshots of an exemplative embodiment ofa source and target system selection dialog, respectively. In someembodiments, source and target system selection dialogs are used toselect a source system comprising a source installation to be upgradedto a target system comprising a target installation, using any of thesystems and methods described herein. As shown, a source system dialogmay comprise a name 802, description 804, release version 806, andsystem identification (SID) 808. Similarly, a target system dialog maycomprise a name 810, description 812, release version 814, and SID 816.

Shown in FIG. 9A is a screenshot of an exemplative embodiment of aprotocol selection dialog. In some embodiments, entries in the protocolselection dialog may be populated automatically, responsive to protocolsdefined on the bridge system, source system, and/or target system. Asshown, protocol selection dialog may comprise fields formandatory/optional status 902, SRTFD 904, logical system 906, creationor modification date 908, creator 910, and description 912.

Shown in FIG. 9B is a screenshot of an exemplative embodiment of averification dialog. In some embodiments, verification dialog may allowa user to verify previous selections. For example and as shown, sessionname 914 and session description 916 may, in some embodiments,correspond to a connection description and connection name, discussedabove. In other embodiments, the session name 914 and sessiondescription 916 may be entered manually or modified to describe aspecific instance of analysis and/or transformation. Also shown areselection options for a language and/or locale 918, a project phase 920.Also shown are fields populated responsive to earlier selections, suchas system 922, customer 924, source system 926, target system 928, andprotocol 930. Also shown is program field 932, which may be populatedautomatically by the client with identifications of programs and/orinstallations, such as source installation and target installation.

Shown in FIG. 10 is a screenshot of an exemplative embodiment of acomparison report, described above. As shown, the comparison report maycomprise an index or list of objects 1002. The comparison report mayfurther comprise a chart of the ratio of classifications of parseridentifications 1004. For example, as shown in this example, the parserhas identified a ratio of objects that may need transformation 1012 tothose that may not require transformation 1014. Although notillustrated, in some embodiments, selecting issues 1006 may display aratio of objects with severe errors if not upgraded, minor errors if notupgraded, and no errors if not upgraded. For example, in one embodiment,an object may be classified as having a severe error if failure totransform the object would result in an endless loop or a divide by zeroerror. In another embodiment, an object may be classified as having aminor error if failure to transform the object would result in a warningdialog. In some embodiments, selecting actions 1008 may display a ratioof objects that may be automatically, semi-automatically, and manuallytransformed. In other embodiments, selecting data 1010 may display alist of underlying numerical data used to display the chart as shown.

Also shown in FIG. 10 is a comparison window 1016 and a code window1018. As shown, code window 1018 may display a list or index of objects.Selecting an object may, in some embodiments, cause the source code ofthe object to be displayed in the before window 1020 and the source codeof the transformed object to be displayed in the after window 1022. Insome embodiments, one or more indicators 1024 may be displayed betweenbefore window 1020 and after window 1022 indicating wheretransformations have occurred.

Shown in FIG. 11 is a screenshot of an exemplative embodiment of aproject analysis report. As shown, a project analysis report maycomprise analysis results 1102, which may, in some embodiments, describethe type, number, and percentage ratios of parser issues. In someembodiments, the project analysis report may also comprise parseractions 1104, which may describe the type, number, and percentage ratiosof actions to be taken by the parser. In additional embodiments, theproject analysis report may also comprise a listing 1106 of programs orobjects in an installation and a corresponding number of issues witheach program or object. As shown, in some embodiments, a projectanalysis report may also include charts 1108 and 1110 illustrating thepercentage ratios for analysis results and parser actions, respectively.In an additional embodiment not illustrated, project analysis report mayfurther comprise a report on an estimated time and/or cost to transforma source installation to a target installation.

Shown in FIGS. 12-14 are screenshots of an exemplative embodiment of aparser configuration tool 1202. As shown in FIG. 12, parser commands1204 may be selected for display. In some embodiments, the commands maybe read-only, as shown, while in other embodiments, the commands may beeditable. In further embodiments, commands may be editable responsive toan authentication or privilege level of the user. As shown in display ofcurrent parser commands 1206, commands may comprise a key, a commandusage, an origin, a status for whether the command has started, isobsolete, or is unavailable, and a description of the command. In someembodiments, parser commands may comprise tokens and/or syntax asdiscussed above.

As shown in FIG. 13, parser issues 1304 may be selected for display. Insome embodiments, the parser issues may be read-only, as shown, while inother embodiments, the parser issues may be editable. In furtherembodiments, parser issues may be editable responsive to anauthentication or privilege level of the user. As shown in display ofcurrent parser issues 1306, issues may comprise a classification, acode, a description in one or more languages, a local name, a message tobe inserted into code in one or more languages, a remove name, and arelease version.

As shown in FIG. 14, the parser may utilize handlers 1404. In someembodiments, handlers may be xml files comprising analysisconfigurations. In some embodiments, the list of parser handlers 1406may be read-only, as shown, while in other embodiments, the list may beeditable. In further embodiments, the list may be editable responsive toan authentication or privilege level of the user. As shown in display ofcurrent parser handlers 1406, entries may comprise a name, aconfiguration and a description. In some embodiments, the configurationfield represents or indicates a memory location where the configurationis stored.

Shown in FIGS. 15A-C are screenshots of an embodiment of a report ofobjects analyzed and transformed from a source installation to a targetinstallation. As shown, in one embodiment, the report comprises a header1502. The header 1502 may comprise fields such as a rule code, a numberof occurrences, and a classification. The rule code may be a text label,numerical code, or any combination of numbers and characters to identifya rule. The number of occurrences may, in some embodiments, reflect thenumber of occurrences of the rule identified by the rule code beingapplied in the transformation. In other embodiments, the number ofoccurrences may reflect the number of occurrences of the object 1510 indatabases, objects, and other elements of the source installation towhich the rule will be applied. The classification may identify aclassification of the rule. In some embodiments, the classification maybe “release”, indicating that the rule is specific to a version of theapplication, such as the version of the target installation. In otherembodiments, the classification may be “unicode”, indicating that therule is a unicode violation applicable to all versions of theapplication. In still other embodiments, the classification may be“obsolete”, indicating that the object may be obsolete or unused in thelanguage of the target installation. In yet other embodiments, theclassification may be “customization”, indicating that the rule is acustom rule added by a user or developer.

As shown, in some embodiments header 1502 may also comprise a severity,a parser action, and an action. The severity may, in some embodiments,be an indication of how likely errors are to occur if the object isinstalled unmodified in the target installation. In some embodiments,the severity may “warning”, which may indicate that the severity isminimal. In other embodiments, the severity may be “minimal”. In stillother embodiments, the severity may be “severe”, or may be an indicatorsuch as “error” or “UC error”, indicating a unicode or other error. Theparser action may, in some embodiments, be an indicator whether theobject is automatic code, semi-automatic code, or manual code, asdiscussed above. The action may, in some embodiments, indicator anaction for the transformer to take. For example, the action may be“replace”, indicating that source code of the object will be replaced ormodified according to the rule. In other embodiments, the action may be“warning”, indicating that the transformer will add a warning into thesource code, but may, in some embodiments, not replace or modify thesource code.

Also shown in FIGS. 15A-C is a rule description 1504 and comments 1506.In some embodiments, the rule description 1504 and comments 1506 may bemodified by a user or developer to include more or less information, asdesired. As shown, one or both of these fields may be blank. Also shownin FIGS. 15A-C is a message put in code 1508. In some embodiments,message put in code 1508 may be a comment inserted into source code ofan object during transformation. In one embodiment, the message put incode 1508 may be used to document changes. In other embodiments, themessage put in code 1508 may be used for later searching through sourcecode of a target installation to locate objects that have been modified.This may be done, for example, for debugging and testing purposes. Asshown, message put in code 1508 may comprise symbols that may beautomatically expanded as the message is put in the code. For example,in FIG. 15A, the message put in code 1508 includes “(W)”, which may, insome embodiments, be expanded to “(Warn)” when the message is insertedinto source code during transformation. Similarly, the message put incode 1508 may include a date code, such as “MM/DD/YY” which may, in someembodiments, be expanded to the current 2-digit month, 2-digit day, and2-digit year when the message is inserted into source code duringtransformation. Also for example, the message put in code 1508 mayinclude a version number of a target installation, such as “3.1.3” shownin FIG. 15A. In some embodiments, the message put in code 1508 may alsoinclude an indicator for automatic, semi-automatic, or manual code, oran indicator for a warning, such as (“A”), or “(W)”. In furtherembodiments, indicators such as the above mentioned symbols may be usedby a user or developer to search through source code for debugging ortesting. In other embodiments, the indicators may be used by theanalysis tool in generating statistics for reporting, as discussedabove.

Also shown in FIGS. 15A-C is an object 1510, with before-transformationand after-transformation source code segments 1512, and an expectedautomation rate 1514. As shown, in some embodiments object 1510 maycomprise a title, name, or other identifier of an object, such as a pathto the object. In some embodiments, source code segments 1512 maycomprise an indicator, such as a line number, identifying where in thesource code of the object the modification will occur duringtransformation. Source code segments 1512 may indicate specificmodifications to source code of an object during transformation, and mayinclude message put in code 1508, as shown. Expected automation rate1514 may comprise an indicator, such as a percentage, of expectedautomation success. For example, as shown in FIG. 15B, in the exampleembodiment, 62 occurrences of 83 occurrences of the ZSDR_Z56_UPLOADobject include mixed data types and require further information to betransformed. Accordingly, the expected automation rate 1514 is 25%.

Shown in FIG. 16 is a screenshot of an embodiment of a report ofremaining manual effort (RME) required to transform an application froma source installation to a target installation. As shown, in oneembodiment, the RME report may comprise a list of issue types, each withan associated number of issues. In some embodiments, the number ofissues for each issue type may be automatically generated by the parserand/or analyzer, as described above. In some embodiments, the list ofissue types may be divided into sections corresponding to Unicodeissues, Release issues, Obsolete issues, and Customization issues, asdiscussed above in connection with FIGS. 15A-C. Additionally, in someembodiments, each issue listed may be associated with one or moreconfigurations (e.g. “FIRST”, indicating Configuration 1; “SECOND”,indicating Configuration 2; etc.) or no configurations. Each of theseconfigurations may, in some embodiments, represent transformationconfigurations, and the association of an issue with a transformationconfiguration may indicate that the issue is one that has beenconfigured for automated upgrade or transformation in that particulartransformation configuration. In an example not illustrated, a firstconfiguration may be configured to automatically upgrade issuesassociated with unicode concatenate commands, and may be configured tonot automatically upgrade issues associated with obsolete concatenatecommands. Accordingly, in this example, the unicode concatenate issuemay have an indicator associating it with the first configuration whilethe obsolete concatenate issue may not have an indicator associating itwith the first configuration.

In some embodiments, the RME report may also comprise a configurationanalysis window as shown. The configuration analysis window may includea list of object types, as shown. Additionally, the configurationanalysis window may also include, for each object type, numbersindicating the elements associated with the object type that may beautomatically upgraded or transformed (e.g. “handled”), and the elementsassociated with the object type that may require manual upgrading ortransformation. In some embodiments, the numbers indicating the elementsthat require manual upgrading or transformation may be furthersubdivided by estimated complexity of the upgrade or transformation asshown (e.g. “high”, “medium”, and “low”). In further embodiments, theformula for estimating complexity of issues may be preconfigured, whilein other embodiments, the formula may be adjusted by a user. In someembodiments, the configuration analysis window may further comprise ananalysis of one or more automatic transformation configurations comparedto manual upgrade of all issues (e.g. “unassisted”). These embodimentsmay be useful for allowing users to compare different transformationconfigurations with each other and with an estimated time/cost of manualupgrade.

For example, in the embodiment illustrated in FIG. 16, there are a totalof 3121 issues in the application to be transformed to the targetinstallation. A first transformation configuration (“Conf 1”) has beenanalyzed, along with a fully manual (“unassisted”) upgrade. The firstconfiguration has a total of 3112 issues that may be handled, orupgraded automatically, and 9 issues of low complexity that will requiremanual upgrading. This is compared to the unassisted transformation,which has 43 issues of high complexity, 812 issues of medium complexity,and 2266 issues of low complexity. In this illustrated example, thesenumbers are also displayed as a bar graph.

Additionally, the RME report may, in some embodiments, comprise anestimation of time and/or cost for remaining upgrades andtransformations and testing, and total time and/or cost required. Forexample, in the embodiment illustrated, the 3112 “handled” issues of thefirst configuration will take an estimated 32 days, 3:20 hours toupgrade automatically, and the remaining 9 low complexity issues willtake an estimated 3 days, 7:30 hours to upgrade, plus :45 hours to test.Accordingly, upgrading the source installation using the firsttransformation configuration will take an estimated total of 36 days,3:35 hours. This is compared in the example shown to a fully manual“unassisted” upgrade, which will require a total 1627 days, 6:35 hoursto upgrade. In some embodiments, these time estimates may be multipliedby an hourly rate to determine an estimated cost.

FIG. 17 is a screenshot of an embodiment of a report of a time analysisto transform an application from a source installation to a targetinstallation. In some embodiments, the time analysis may comprise a listof issues, divided by types “Unicode”, “Release”, “Obsolete”, and“Customization” as discussed above. In further embodiments, the issuesmay be associated with a time estimate and handling type. For example,the handling type may be “automatic”, “semi-auto”, “manual”, or“ignore”. In many embodiments, these handling types indicate thatelements or code with the specific issue are automatic code,semi-automatic code, or manual code, as discussed above. Additionally,issues may be set to “ignore” by a user, indicating that they will notbe transformed. In some embodiments, a user may set an issue to “ignore”if the user determines that the issue need not be addressed in thetarget installation. For example, if an object of a source installationis not used in the target installation, such as a database that has beenobsoleted, then issues relating to that database may be ignored.

In some embodiments, the time analysis report may further comprise anestimate of time to upgrade objects with issues set to manual orsemi-auto. In further embodiments, the time analysis report may alsocomprise a comparison between a time estimate to upgrade a sourceinstallation without automation (e.g. “unassisted”, as discussed above)and a time estimate to upgrade a source installation with automation.For example, in the embodiment illustrated, it is estimated that it willtake as much as 368 days, :58 hours to upgrade the source installationwithout automation, and 1:56 hours to upgrade the source installationwith automation, for a savings of 99.9% of the time required to performthe upgrade. In many embodiments, the time analysis report may containfurther comparisons as shown, including a pie or bar chart comparingissue types, issues by application program within the sourceinstallation, estimated time required to upgrade each applicationprogram within the source installation, etc.

In many embodiments, the reports shown in FIGS. 16 and 17 may be dynamicreports. These reports may change in real-time, reflecting changes madeby a user to transformation configurations or other settings. Forexample, if a large portion of high complexity manual upgrades arerelated to one application program within the source installation, andthe user determines that said application program need not be upgraded,the user may exclude the application program from the upgrade.Accordingly, the analyzer would re-analyze the time and cost analysisand remaining manual effort analysis, removing issues associated withthe excluded application program, and reducing the estimated time toupgrade the source installation. In these embodiments, a user maycompare estimates of many transformation configurations for efficiencyand time/cost savings and adjust configuration parameters beforeactually performing any transformations.

FIG. 18 is a screenshot of an embodiment of a report summary. In someembodiments, the report summary may comprise a summary of thetransformation configuration; a list of unicode issues in the sourceinstallation to be upgraded; a list of modernization issues; a list ofissues divided by type; a list of issues divided by automation type(i.e. “automatic”, “semi-automatic”, “manual”, or “ignore”); a list ofparser actions to be taken; a list of the number of issues in the top 25programs; a list of the number of unicode issues in the top 25 programs;and a list of the number of modernization and release issues in the top25 programs. In some embodiments, the report summary may, as shown, beexported as a spreadsheet. However, in other embodiments, the reportsummary may be text, a combination of text and spreadsheets, charts, orany other presentation medium appropriate for conveying the aboveinformation. In some embodiments, the report summary may be generatedprior to performing any transformation. For example, the report summarymay be generated after the configurations used in the dynamic reportsshown in FIGS. 16 and 17 are adjusted by a user for efficiency andtime/cost savings.

Although generally described in a network environment, the variousembodiments of the methods and systems described above may also, in someembodiments, be utilized in an off-line format. In some embodiments, themethods and systems described above may also be utilized in anon-real-time format. For example, in one such embodiment, solutionmanager 212 may be used to create a snapshot of a source installation220. The snapshot may then be recorded on a portable storage medium,such as a CD-ROM, a DVD-ROM, a hard disk, a floppy disk, a flash drive,a ZIP drive, or any other type and format of storage medium or memorydevice for transferring data from one computer to another. The storagemedium may then be manually transferred to the analyzer client 208,which may be located nearby, or may be located in another department,building, city, or country. In some embodiments, this may involveshipping or mailing the storage medium to the location of the analyzerclient 208. In other embodiments, the snapshot may be digitallytransferred to the analyzer client 208, although the analyzer client 208may not necessarily have RFC access to the bridge system 202. Forexample, in one such embodiment, the snapshot may be emailed to theanalyzer client 208. In another such embodiment, the snapshot may betransferred over a network, such as the Internet, via any type of filetransfer protocol, such as FTP.

Similarly, in some embodiments, the metamodel may be transferred to theconfiguration client using any of the methods described above. Likewise,transformation configurations, reports, and time/cost analyses may betransferred between the various systems and clients using any of themethods described above. For example, in one such embodiment, aconsultant may utilize a bridge system 202 to create a snapshot of asource system 204 while in the same building and on the same network asthe source system 204. The consultant may then bring the snapshot toanother location, such as the consultant's office, to perform analysisand transformation configuration. The consultant may transfer reports toand from the client, for example over email. Once a transformationconfiguration has been accepted, the consultant may then return to thebuilding containing the source system 204 and execute thetransformation.

In still further embodiments, the analysis and transformation can beperformed on separate client systems. For example, in one suchembodiment, the analysis could be performed on one analyzer client andthe transformation configuration could be created. The transformationconfiguration could then be transferred via a computer readable mediumto another client system for performing the transformation. Similarly,one skilled in the art can appreciate that other methods described abovecan be split between one or more client machines, with intermediaryfiles, such as a partial snapshot or analysis, complete snapshot oranalysis, configuration file, report, or any other type and form of filebeing transferred from one client machine to another client machine,where the snapshotting, analysis, configuration, and/or transformationmay be continued.

While various embodiments of the methods and systems have beendescribed, these embodiments are exemplary and in no way limit the scopeof the described methods or systems. Those having skill in the relevantart can effect changes to form and details of the described methods andsystems without departing from the broadest scope of the describedmethods and systems. Thus, the scope of the methods and systemsdescribed herein should not be limited by any of the exemplaryembodiments and should be defined in accordance with the accompanyingclaims and their equivalents.

1. A method for analyzing modifications to an application from apredetermined state of the application, the method comprising: (a)identifying, by a collection agent from a source installation of anapplication, objects of the application modified from a predeterminedstate of the application; (b) parsing, by an analysis agent, themodified objects into a set of elements; (c) generating, by the analysisagent, a meta-model comprising a representation of the modified objectsof the application, the meta-model mapping the set of elements to themodified objects; and (d) applying, by the analysis agent, one or moreanalysis rules to the set of elements in the meta-model, the one or moreanalysis rules determining whether transformation of each of the set ofthe elements from the source installation of the application to a targetinstallation of the application is automatic, semi-automatic or manual.2. The method of claim 1, wherein step (a) further comprises comparingeach object to a database of objects in the predetermined state of theapplication and identifying a modification to each object based on thecomparison.
 3. The method of claim 1, wherein step (b) further comprisesparsing the modified objects to determine one or more of a languagesyntax and grammar of the objects, and comparing the modified objects toa language rules database.
 4. The method of claim 1, wherein step (c)further comprises generating the meta-model to include one or more ofthe following: data structures, database definition, file definitioninterfaces, and a link from the set of elements of the modified objectsto corresponding code in the source application.
 5. The method of claim1, wherein step (d) further comprises detecting, by the analysis agent,one or more violations of the set of elements in the meta-model to rulesspecified via the one or more analysis rules.
 6. The method of claim 1,wherein step (d) further comprises determining, by the analysis agent, aset of elements in the meta-model that violate a unicode rule specifiedby the one or more analysis rules.
 7. The method of claim 1, whereinstep (d) further comprises determining, by the analysis agent, a set ofelements in the meta-model that do not adhere to a coding standardspecified by the one or more analysis rules.
 8. The method of claim 1,wherein step (d) further comprises categorizing each of the modifiedobjects as an automatic, semi-automatic or manual conversion from thesource installation of the application to the target installation of theapplication.
 9. The method of claim 1, wherein step (d) furthercomprises generating statistics of suitability for upgrade from thesource installation of the application to the target installation of theapplication.
 10. The method of claim 1, wherein step (d) furthercomprises generating an estimate of one or more of time and cost forconverting the source installation of the application to the targetinstallation of the application.
 11. A method for transformingmodifications from a source installation of an application to a targetinstallation of the application, the method comprising: (a) receiving,by a transformer, a meta-model comprising a representation of objects ofa source installation of an application modified from a predeterminedstate of the application, the meta-model mapping the modified objects toa set of elements; (b) applying, by the transformer, one or moretransformation rules to the meta-model to transform the set of elementsof the modified objects for a target installation of the application;and (c) generating, by the transformer from the transformed set ofelements in the meta-model, transformed objects that are interpretableby the target installation of the application.
 12. The method of claim11, further comprising: (d) displaying, by the transformer, a comparisonof the set of elements before applying the transformation rules and theset of elements after applying the transformation rules.
 13. The methodof claim 11, wherein step (b) further comprises identifying patterns inthe meta-model and replacing the identified patterns with elementsspecified by the one or more transformation rules.
 14. The method ofclaim 11, wherein step (b) further comprises applying the one or moretransformation rules, responsive to an indicator identifying each of themodified objects as an automatic, semi-automatic, or manualtransformation.
 15. The method of claim 11, wherein step (b) furthercomprises applying the one or more transformation rules to upgrade themodified objects from a first version of the application of the sourceinstallation to a second version of the application of the targetinstallation.
 16. The method of claim 11, wherein step (b) furthercomprises applying the one or more transformation rules to correctviolations of the modified objects for the target installation of theapplication identified by one or more analysis rules.
 17. The method ofclaim 11, wherein step (b) further comprises applying the one or moretransformation rules to convert the set of elements of the modifiedobjects to comply with a unicode rule.
 18. The method of claim 11,wherein step (b) further comprises applying the one or moretransformation rules to convert the set of elements of the modifiedobjects to comply with a coding standard.
 19. The method of claim 11,wherein step (c) further comprises generating the transformed set ofelements into transformed objects comprising a programming language ofthe target installation of the application.
 20. The method of claim 11,wherein step (c) further compiling the transformed objects into a formuseable by the target installation of the application.